Thomas Sauerwald
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 5%
- Computational Theory and Mathematics top 10%
- Mathematical Physics top 10%
- Artificial Intelligence
- Co-authors
- Tobias FriedrichRobert Elsässer⋆Alexandre StaufferGeorge GiakkoupisBurkhard MonienHenning MeyerhenkeBenjamin DoerrPetra Berenbrink
- Topics
- Optimization and Search Problems (17 papers)Opportunistic and Delay-Tolerant Networks (17 papers)Complexity and Algorithms in Graphs (17 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Thomas Sauerwald
60 papers receiving 529 citations
Peers
Comparison fields: 5 of 67
- Computer Networks and Communications 350
- Statistical and Nonlinear Physics 163
- Computational Theory and Mathematics 74
- Mathematical Physics 70
- Artificial Intelligence 69
Countries citing papers authored by Thomas Sauerwald
This map shows the geographic impact of Thomas Sauerwald's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Thomas Sauerwald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Sauerwald more than expected).
Fields of papers citing papers by Thomas Sauerwald
This network shows the impact of papers produced by Thomas Sauerwald. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Thomas Sauerwald. The network helps show where Thomas Sauerwald may publish in the future.
Co-authorship network of co-authors of Thomas Sauerwald
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Sauerwald. A scholar is included among the top collaborators of Thomas Sauerwald based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas Sauerwald. Thomas Sauerwald is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 35 | |
| 6 | 8 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | 17 | |
| 10 | 53rd Annual IEEE Symposium on Foundations of Computer Science, FOCS 2012, New Brunswick, NJ, USA, October 20-23, 2012 | 5 |
| 11 | 25 | |
| 12 | 11 | |
| 13 | 17 | |
| 14 | 5 | |
| 15 | 25 | |
| 16 | The power of memory in randomized broadcasting | 15 |
| 17 | 3 | |
| 18 | 20 | |
| 19 | 21 | |
| 20 | 1 |
About Thomas Sauerwald
Thomas Sauerwald is a scholar working on Computer Networks and Communications, Discrete Mathematics and Combinatorics and Computational Theory and Mathematics, having authored 64 papers that have together received 545 indexed citations. Recurring topics across this work include Optimization and Search Problems (17 papers), Opportunistic and Delay-Tolerant Networks (17 papers) and Complexity and Algorithms in Graphs (17 papers). The work is most often cited by research in Computer Networks and Communications (350 citations), Statistical and Nonlinear Physics (163 citations) and Mathematical Physics (70 citations). Thomas Sauerwald has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Tobias Friedrich, Robert Elsässer⋆, Alexandre Stauffer, George Giakkoupis, Burkhard Monien, Henning Meyerhenke, Benjamin Doerr, Petra Berenbrink, He Sun and Κωνσταντίνος Παναγιώτου. Their work appears in journals such as Genome Research, SIAM Journal on Computing and Theoretical Computer Science.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.